Energy Storage Stochastic Optimization Planning Considering Dynamic Frequency Constraints

  • Yue Chen
  • , Qianwen Hu
  • , Xu Lin
  • , Qiuyu Lu
  • , Yu Zhu
  • , Gengfeng Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The high proportion of new energy sources poses severe challenge to flexible regulation ability and safe operation of power system. Energy storage system as a flexible resource will play a more important role, so this paper proposes an energy storage planning method considering dynamic frequency constraints. The proposed model is a scenario-based two-stage stochastic MILP model. Fully considering the uncertainty of wind power, the first stage is to optimize the location and capacity of ESS; in the second stage, frequency requirement constraints are modelled to ensure frequency safety and power system operation strategies are optimized to minimize system operation cost. The model is tested on a modified IEEE39 system. Results indicates that energy storage planning considering dynamic frequency constraints can significantly ensure frequency safety of power system with high proportion of new energy sources.

Original languageEnglish
Title of host publication2023 2nd Asia Power and Electrical Technology Conference, APET 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages828-833
Number of pages6
ISBN (Electronic)9798350359428
DOIs
StatePublished - 2023
Event2nd Asia Power and Electrical Technology Conference, APET 2023 - Shanghai, China
Duration: 28 Dec 202330 Dec 2023

Publication series

Name2023 2nd Asia Power and Electrical Technology Conference, APET 2023

Conference

Conference2nd Asia Power and Electrical Technology Conference, APET 2023
Country/TerritoryChina
CityShanghai
Period28/12/2330/12/23

Keywords

  • energy storage system (ESS)
  • frequency safety
  • optimization planning
  • stochastic optimization

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